找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Artificial Intelligence: Theories, Models and Applications; 5th Hellenic Confere John Darzentas,George A. Vouros,Argyris Arnellos Conferenc

[复制链接]
查看: 21947|回复: 65
发表于 2025-3-21 17:54:09 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence: Theories, Models and Applications
期刊简称5th Hellenic Confere
影响因子2023John Darzentas,George A. Vouros,Argyris Arnellos
视频video
学科分类Lecture Notes in Computer Science
图书封面Titlebook: Artificial Intelligence: Theories, Models and Applications; 5th Hellenic Confere John Darzentas,George A. Vouros,Argyris Arnellos Conferenc
影响因子Artificial intelligence (AI) is a dynamic field that is constantly expanding into new application areas, discovering new research challenges and facilitating the devel- ment of innovative products. Today’s information overload and rapid technological advancement raise needs for effective management of the complexity and heteroge- ity of knowledge, for intelligent and adaptable man–machine interfaces and for pr- ucts and applications that can learn and take decisions by themselves. Although the mystery of human-level intelligence has just started to be uncovered in various int- disciplinary fields, AI is inspired by the respective scientific areas to explore certain theories and models that will provide the methods and techniques to design and - velop human-centered applications that address the above-mentioned needs. This volume contains papers selected for presentation at the 5th Hellenic Conference on Artificial Intelligence (SETN 2008), the official meeting of the Hellenic Society for Artificial Intelligence (EETN). Previous conferences were held at the University of Piraeus (1996), at the Aristotle University of Thessaloniki (2002), at the University of the Aegean (2004) and at
Pindex Conference proceedings 2008
The information of publication is updating

书目名称Artificial Intelligence: Theories, Models and Applications影响因子(影响力)




书目名称Artificial Intelligence: Theories, Models and Applications影响因子(影响力)学科排名




书目名称Artificial Intelligence: Theories, Models and Applications网络公开度




书目名称Artificial Intelligence: Theories, Models and Applications网络公开度学科排名




书目名称Artificial Intelligence: Theories, Models and Applications被引频次




书目名称Artificial Intelligence: Theories, Models and Applications被引频次学科排名




书目名称Artificial Intelligence: Theories, Models and Applications年度引用




书目名称Artificial Intelligence: Theories, Models and Applications年度引用学科排名




书目名称Artificial Intelligence: Theories, Models and Applications读者反馈




书目名称Artificial Intelligence: Theories, Models and Applications读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:26:53 | 显示全部楼层
Emotion in Cognitive Systems Architectureslly inspired, although at very different levels of abstraction. This ranges from explicitly biomimetic approaches, concerned with biological plausibility and scientific modeling, to the use of abstractly biologically inspired techniques such as evolutionary and neural computing in engineering. Howev
发表于 2025-3-22 01:36:21 | 显示全部楼层
发表于 2025-3-22 06:45:48 | 显示全部楼层
A Multi-agent Environment for Serving Proof Explanations in the Semantic Webws users or agents to issue queries, on a given RDF& rules knowledge base and automatically produces proof explanations for answers produced by a popular programming system (JENA), by interpreting the output from the proof’s trace and converting it into a meaningful representation. It also supports
发表于 2025-3-22 10:20:36 | 显示全部楼层
A Study of SAT-Based Branching Heuristics for the CSPproblems. Despite their similarities regarding the problem formulation and the basic backtracking search algorithms they use, several advanced techniques have been developed and standardized in one framework but have been rather ignored in the other. One class of such techniques includes branching h
发表于 2025-3-22 16:13:42 | 显示全部楼层
发表于 2025-3-22 20:54:13 | 显示全部楼层
A Sparse Regression Mixture Model for Clustering Time-Seriesf a smoothing prior over component regression coefficients through a Bayesian framework. This is done by using an appropriate Student-t distribution. The advantages of the sparsity-favouring prior is to make model more robust, less independent on order . of polynomials and improve the clustering pro
发表于 2025-3-22 22:47:58 | 显示全部楼层
Human Distress Sound Analysis and Characterization Using Advanced Classification Techniqueshis paper presents a system for collecting and analyzing sounds and speech expressions utilizing on-body sensors and advanced classification techniques for emergency events detection. A variety of popular classification and meta-classification algorithms have been evaluated and the corresponding res
发表于 2025-3-23 03:12:56 | 显示全部楼层
发表于 2025-3-23 06:22:50 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-14 02:38
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表